Drone Hyperspectral Data Scientist for ACM Mapping
Dipartimento Ingegneria Chimica Materiali Contesto invites applications for a research fellow to develop spectral libraries and chemometric procedures in Python for processing drone-acquired hyperspectral data, aiming at identifying asbestos-containing materials (ACM).
The role covers field-to-laboratory validation, asbestos fiber quantification, thematic map generation, and GIS integration, requiring expertise in hyperspectral imaging, chemometrics, and remote sensing, with proficiency in ENVI
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The role covers field-to-laboratory validation, asbestos fiber quantification, thematic map generation, and GIS integration, requiring expertise in hyperspectral imaging, chemometrics, and remote sensing, with proficiency in ENVI
#J-18808-Ljbffr